Cracking The FAANG Interview - How To Prepare For Your Data Engineering Interview

Interviewing for any technical position generally requires preparing, studying, and long, all-day interviews.

Data engineering and data science interviews, like other technical interviews, require plenty of preparation. There are a number of subjects that need to be covered in order to ensure you are ready for back-to-back questions.

Some positions require Hadoop, others SQL. Some roles require understanding statistics, while still others require heavy amounts of system design.

So we put together a study guide here:

https://docs.google.com/spreadsheets/d/1GOO4s1NcxCR8a44F0XnsErz5rYDxNbHAHznu4pJMRkw/edit#gid=0

If you enjoyed this video, check out some of my other top videos.

What Skills Do Data Engineers Need? https://www.youtube.com/watch?v=LgSHaOvNodA

Data Engineering Project Ideas https://youtu.be/LJkVvNWlO0g

If you want to learn more about data engineering, check out DataCamps data engineering course

• https://bit.ly/3i1XqsK

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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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About me: I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consults on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

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